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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 3778
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    phrases related to acquiring knowledge or understanding

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oute
    -0.67
    emale
    -0.63
    ))))
    -0.63
    ?),
    -0.61
     ?)
    -0.61
     wonders
    -0.59
    after
    -0.59
    ighed
    -0.59
    ammy
    -0.58
     lamented
    -0.58
    POSITIVE LOGITS
     oneself
    1.11
     yourself
    1.02
     Yourself
    0.97
     yourselves
    0.80
     ourselves
    0.75
     beforehand
    0.70
     actively
    0.68
     sufficiently
    0.66
     physically
    0.66
     fundamentals
    0.66
    Activations Density 1.060%

    No Known Activations